Results 1 to 10 of about 128,585 (72)
A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence
Nature Neuroscience, 2021 Extensive sampling of neural activity during rich cognitive phenomena is critical for robust understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in which high-resolution functional magnetic resonance imaging responses to ...
Emily J. Allen +12 more
semanticscholar +1 more source
The extent and drivers of gender imbalance in neuroscience reference lists [PDF]
Nature Neuroscience, 2020 Similarly to many scientific disciplines, neuroscience has increasingly attempted to confront pervasive gender imbalances. Although publishing and conference participation are often highlighted, recent research has called attention to the prevalence of ...
Jordan D Dworkin +5 more
semanticscholar +1 more source
Fractals in the Nervous System: Conceptual Implications for Theoretical Neuroscience [PDF]
Front. Physiology, 2009 This essay is presented with two principal objectives in mind: first, to document the prevalence of fractals at all levels of the nervous system, giving credence to the notion of their functional relevance; and second, to draw attention to the as yet ...
Gerhard Werner
semanticscholar +1 more source
Graph Neural Networks in Network Neuroscience [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Noninvasive medical neuroimaging has yielded many discoveries about the brain connectivity. Several substantial techniques mapping morphological, structural and functional brain connectivities were developed to create a comprehensive road map of neuronal
Alaa Bessadok, M. Mahjoub, I. Rekik
semanticscholar +1 more source
The OpenNeuro resource for sharing of neuroscience data
eLife, 2021 The sharing of research data is essential to ensure reproducibility and maximize the impact of public investments in scientific research. Here, we describe OpenNeuro, a BRAIN Initiative data archive that provides the ability to openly share data from a ...
Christopher J. Markiewicz +11 more
semanticscholar +1 more source
A Paradigm Shift in Neuroscience Driven by Big Data: State of art, Challenges, and Proof of Concept [PDF]
arXiv, 2022 A recent editorial in Nature noted that cognitive neuroscience is at a crossroads where it is a thorny issue to reliably reveal brain-behavior associations. This commentary sketches a big data science way out for cognitive neuroscience, namely population neuroscience.
arxiv
Annals of the New York Academy of Sciences, 2018 The past few decades have seen a rapid increase in the use of functional near‐infrared spectroscopy (fNIRS) in cognitive neuroscience. This fast growth is due to the several advances that fNIRS offers over the other neuroimaging modalities such as ...
P. Pinti +6 more
semanticscholar +1 more source
Teaching Computational Neuroscience [PDF]
, 2014 The problems and beauty of teaching computational neuroscience are discussed by reviewing three new textbooks.
arxiv +1 more source
Connecting levels of analysis in the computational era [PDF]
arXiv, 2023 Neuroscience and artificial intelligence are closely intertwined, but so are the physics of dynamical system, philosophy and psychology. Each of these fields try in their own way to relate observations at the level of molecules, synapses, neurons or behavior, to a function.
arxiv
The Theory and Neuroscience of Cerebellar Cognition.
Annual Review of Neuroscience, 2019 Cerebellar neuroscience has undergone a paradigm shift. The theories of the universal cerebellar transform and dysmetria of thought and the principles of organization of cerebral cortical connections, together with brain imaging studies and clinical ...
J. Schmahmann +3 more
semanticscholar +1 more source